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Should I have multiple DynamoDB tables?
You should maintain as few tables as possible in a DynamoDB application. Most well designed applications require only one table. This means that a single index (both Global Secondary and Local Secondary) on your one table can be used to support several different query patterns.
When should I use DynamoDB?
You should consider using DynamoDB if you:
- Have had scalability problems with other traditional database systems.
- Are actively engaged in developing an application or service.
- Are working with an online transaction processing (OLTP) workload.
Is DynamoDB better than MongoDB?
If your business already relies on AWS services, then DynamoDB is probably the best option for you. It’ll be easy to deploy, maintain, and integrate with your current infrastructure. If, on the other hand, you’re planning on putting together a multi-cloud infrastructure, then MongoDB is definitely the way to go.
Every table can have (but does not have to have) a primary key. The column or columns defined as the primary key ensure uniqueness in the table; no two rows can have the same key. The primary key of one table may also help to identify records in other tables, and be part of the second table’s primary key.
How many tables should you maintain in a DynamoDB application?
You should maintain as few tables as possible in a DynamoDB application. The first step in designing your DynamoDB application is to identify the specific query patterns that the system must satisfy. In particular, it is important to understand three fundamental properties of your application’s access patterns before you begin:
How are NoSQL databases used in Amazon DynamoDB?
NoSQL database systems like Amazon DynamoDB use alternative models for data management, such as key-value pairs or document storage. When you switch from a relational database management system to a NoSQL database system like DynamoDB, it’s important to understand the key differences and specific design approaches.
Are there any operational overheads with DynamoDB?
First, there is some operational overhead with each table you have in DynamoDB. Even though DynamoDB is fully-managed and pretty hands-off compared to a relational database, you still need to configure alarms, monitor metrics, etc.
What makes NoSQL database different from RDBMS?
In a NoSQL database such as DynamoDB, data can be queried efficiently in a limited number of ways, outside of which queries can be expensive and slow. These differences make database design different between the two systems: In RDBMS, you design for flexibility without worrying about implementation details or performance.